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United States Non Farm Payrolls
- tradingeconomics.com
- zh.tradingeconomics.com
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csv, excel, json, xmlUpdated Nov 20, 2025
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EmailClick to copy linkLink copiedCiteTRADING ECONOMICS (2025). United States Non Farm Payrolls [Dataset]. https://tradingeconomics.com/united-states/non-farm-payrollscsv, xml, json, excelAvailable download formatsDataset updatedNov 20, 2025Dataset authored and provided byTRADING ECONOMICSLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyTime period coveredFeb 28, 1939 - Sep 30, 2025Area coveredUnited StatesDescriptionNon Farm Payrolls in the United States increased by 119 thousand in September of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
U.S. monthly change in nonfarm payroll employment 2022-2025
- statista.com
ShareFacebookTwitterEmailClick to copy linkLink copiedCiteStatista, U.S. monthly change in nonfarm payroll employment 2022-2025 [Dataset]. https://www.statista.com/statistics/217417/monthly-change-in-nonfarm-payroll-employment-in-the-us/Time period coveredAug 2022 - Aug 2025Area coveredUnited StatesDescriptionIn August 2025, the total nonfarm payroll employment increased by around 22,000 people in the United States. The data are seasonally adjusted. According to the BLS, the data is derived from the Current Employment Statistics (CES) program which surveys about 140,000 businesses and government agencies each month, representing approximately 440,000 individual worksites, in order to provide detailed industry data on employment.
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US Total Nonfarm Payrolls
- ycharts.com
htmlUpdated Sep 5, 2025+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteBureau of Labor Statistics (2025). US Total Nonfarm Payrolls [Dataset]. https://ycharts.com/indicators/us_total_nonfarm_payrollshtmlAvailable download formatsDataset updatedSep 5, 2025Dataset provided byYChartsAuthorsBureau of Labor StatisticsLicensehttps://www.ycharts.com/termshttps://www.ycharts.com/terms
Time period coveredJan 31, 1939 - Aug 31, 2025Area coveredUnited StatesVariables measuredUS Total Nonfarm PayrollsDescriptionView monthly updates and historical trends for US Total Nonfarm Payrolls. from United States. Source: Bureau of Labor Statistics. Track economic data with…
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United States ADP Employment Change
- tradingeconomics.com
- ar.tradingeconomics.com
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csv, excel, json, xmlUpdated Nov 5, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteTRADING ECONOMICS (2025). United States ADP Employment Change [Dataset]. https://tradingeconomics.com/united-states/adp-employment-changecsv, xml, json, excelAvailable download formatsDataset updatedNov 5, 2025Dataset authored and provided byTRADING ECONOMICSLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyTime period coveredFeb 28, 2010 - Oct 31, 2025Area coveredUnited StatesDescriptionPrivate businesses in the United States hired 42 thousand workers in October of 2025 compared to -29 thousand in September of 2025. This dataset provides the latest reported value for - United States ADP Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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US Nonfarm Payrolls MoM
- ycharts.com
htmlUpdated Sep 5, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteBureau of Labor Statistics (2025). US Nonfarm Payrolls MoM [Dataset]. https://ycharts.com/indicators/us_nonfarm_payrolls_momhtmlAvailable download formatsDataset updatedSep 5, 2025Dataset provided byYChartsAuthorsBureau of Labor StatisticsLicensehttps://www.ycharts.com/termshttps://www.ycharts.com/terms
Time period coveredFeb 28, 1939 - Aug 31, 2025Area coveredUnited StatesVariables measuredUS Nonfarm Payrolls MoMDescriptionView monthly updates and historical trends for US Nonfarm Payrolls MoM. from United States. Source: Bureau of Labor Statistics. Track economic data with Y…
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United States Nonfarm Payrolls - Private
- tradingeconomics.com
- fa.tradingeconomics.com
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csv, excel, json, xmlUpdated Nov 20, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteTRADING ECONOMICS (2025). United States Nonfarm Payrolls - Private [Dataset]. https://tradingeconomics.com/united-states/nonfarm-payrolls-privatejson, csv, xml, excelAvailable download formatsDataset updatedNov 20, 2025Dataset authored and provided byTRADING ECONOMICSLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyTime period coveredFeb 28, 1939 - Sep 30, 2025Area coveredUnited StatesDescriptionNonfarm Payrolls Private in the United States increased by 97 thousand in September of 2025. This dataset provides the latest reported value for - United States Nonfarm Payrolls - Private - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Data from: Design, Synthesis, and Biological Evaluation of the Third...
- figshare.com
- acs.figshare.com
txtUpdated Jun 3, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteYi Zheng; Samuel Obeng; Huiqun Wang; Abdulmajeed M. Jali; Bharath Peddibhotla; Dwight A. Williams; Chuanchun Zou; David L. Stevens; William L. Dewey; Hamid I. Akbarali; Dana E. Selley; Yan Zhang (2023). Design, Synthesis, and Biological Evaluation of the Third Generation 17-Cyclopropylmethyl-3,14β-dihydroxy-4,5α-epoxy-6β-[(4′-pyridyl)carboxamido]morphinan (NAP) Derivatives as μ/κ Opioid Receptor Dual Selective Ligands [Dataset]. http://doi.org/10.1021/acs.jmedchem.8b01158.s004txtAvailable download formatsUnique identifierhttps://doi.org/10.1021/acs.jmedchem.8b01158.s004Dataset updatedJun 3, 2023Dataset provided byACS PublicationsAuthorsYi Zheng; Samuel Obeng; Huiqun Wang; Abdulmajeed M. Jali; Bharath Peddibhotla; Dwight A. Williams; Chuanchun Zou; David L. Stevens; William L. Dewey; Hamid I. Akbarali; Dana E. Selley; Yan ZhangLicenseAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automaticallyDescriptionμ opioid receptor (MOR) agonists have been widely applied for treating moderate to severe pain. However, numerous adverse effects have been associated with their application, including opioid-induced constipation (OIC), respiratory depression, and addiction. On the basis of previous work in our laboratory, NAP, a 6β-N-4′-pyridyl substituted naltrexamine derivative, was identified as a peripheral MOR antagonist that may be used to treat OIC. To further explore its structure–activity relationship, a new series of NAP derivatives were designed, synthesized, and biologically evaluated. Among these derivatives, NFP and NYP significantly antagonized the antinociception effect of morphine. Whereas NAP acted mainly peripherally, its derivatives NFP and NYP actually can act centrally. Furthermore, NFP produced significantly lesser withdrawal symptoms than naloxone at similar doses. These results suggest that NFP has the potential to be a lead compound to treat opioid abuse and addiction.
Diebold–Mariano test results: Based on IP, NFP, and CU indicators.
- plos.figshare.com
xlsUpdated Dec 11, 2024+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteFeng Shen; Xiaodong Yan; Yuhuang Shang (2024). Diebold–Mariano test results: Based on IP, NFP, and CU indicators. [Dataset]. http://doi.org/10.1371/journal.pone.0315604.t014xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0315604.t014Dataset updatedDec 11, 2024AuthorsFeng Shen; Xiaodong Yan; Yuhuang ShangLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionDiebold–Mariano test results: Based on IP, NFP, and CU indicators.
Comparison of the RMSFE of univariate mixed-frequency models: Based on NFP...
- figshare.com
- plos.figshare.com
xlsUpdated Dec 11, 2024+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteFeng Shen; Xiaodong Yan; Yuhuang Shang (2024). Comparison of the RMSFE of univariate mixed-frequency models: Based on NFP indicators. [Dataset]. http://doi.org/10.1371/journal.pone.0315604.t006xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0315604.t006Dataset updatedDec 11, 2024AuthorsFeng Shen; Xiaodong Yan; Yuhuang ShangLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionComparison of the RMSFE of univariate mixed-frequency models: Based on NFP indicators.
Comparison of the MAPE of multivariate mixed-frequency models: Based on IP,...
- plos.figshare.com
xlsUpdated Dec 11, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFeng Shen; Xiaodong Yan; Yuhuang Shang (2024). Comparison of the MAPE of multivariate mixed-frequency models: Based on IP, NFP, and CU indicators. [Dataset]. http://doi.org/10.1371/journal.pone.0315604.t013xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0315604.t013Dataset updatedDec 11, 2024AuthorsFeng Shen; Xiaodong Yan; Yuhuang ShangLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionComparison of the MAPE of multivariate mixed-frequency models: Based on IP, NFP, and CU indicators.
Comparison of the MAPE of univariate mixed-frequency models: Based on NFP...
- plos.figshare.com
xlsUpdated Dec 11, 2024+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteFeng Shen; Xiaodong Yan; Yuhuang Shang (2024). Comparison of the MAPE of univariate mixed-frequency models: Based on NFP indicators. [Dataset]. http://doi.org/10.1371/journal.pone.0315604.t007xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0315604.t007Dataset updatedDec 11, 2024AuthorsFeng Shen; Xiaodong Yan; Yuhuang ShangLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionComparison of the MAPE of univariate mixed-frequency models: Based on NFP indicators.
Comparison of nodulation levels of nfp plants complemented by constructs...
- plos.figshare.com
xlsUpdated Jun 1, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteSandra Bensmihen; Françoise de Billy; Clare Gough (2023). Comparison of nodulation levels of nfp plants complemented by constructs with different point mutations either in the SYM10 ECD or NFP ECD, upon inoculation with wild type S. meliloti, at 7 dpi or 21 dpi. [Dataset]. http://doi.org/10.1371/journal.pone.0026114.t002xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0026114.t002Dataset updatedJun 1, 2023AuthorsSandra Bensmihen; Françoise de Billy; Clare GoughLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe three groups of results correspond to three series of experiments.For each construct and time point, two independent experiments were performed.The means bearing the same superscript are not significantly different following a Kruskal-Wallis (for 7 dpi data) or ANOVA (for 21 dpi data) statistical test.
Income matrix for the NFP, carrier, and shipper under various strategies.
- plos.figshare.com
xlsUpdated Jun 27, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteChan He; Qun Xu; Xu Xu; Feng Kong; Feng Shen (2025). Income matrix for the NFP, carrier, and shipper under various strategies. [Dataset]. http://doi.org/10.1371/journal.pone.0319842.t002xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0319842.t002Dataset updatedJun 27, 2025AuthorsChan He; Qun Xu; Xu Xu; Feng Kong; Feng ShenLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionIncome matrix for the NFP, carrier, and shipper under various strategies.
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United States Non Farm Payrolls - Historical Dataset (1939-02-28/2025-09-30)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Non Farm Payrolls in the United States increased by 119 thousand in September of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.